class_docstr: CelebA-HQ dataset, downsampled as 128x128.
code: def example_reading_spec(self):
      data_fields = {
          "image/encoded": tf.FixedLenFeature((), tf.string),
          "image/format": tf.FixedLenFeature(
              (), tf.string, default_value="png"
          ),
      }
      _, data_items_to_decoders = super(
          ImageCelebahq128, self
      ).example_reading_spec()
      return data_fields, data_items_to_decoders
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensor2tensor.data_generators import image_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 2 for calling the ImageCelebahq128 obj's underlying member method code with example usage: obj.example_reading_spec() and returns: data_fields,  data_items_to_decoders